Source URL: https://cloud.google.com/blog/products/data-analytics/google-leader-2025-idc-marketscape-for-business-intelligence/
Source: Cloud Blog
Title: Google is a Leader in the 2025 IDC MarketScape for Business Intelligence and Analytics Platforms
Feedly Summary: We are pleased to share that IDC has named Google a Leader in the IDC MarketScape: Worldwide Business Intelligence and Analytics Platforms 2025 Vendor Assessment. We believe this position is a testament to our continued focus on delivering a modern, AI-infused business intelligence platform that empowers organizations to make data-driven decisions at scale. You can download our excerpt from the 2025 IDC MarketScape for Business Intelligence and Analytics Platforms here.
IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of technology and suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each supplier’s position within a given market. The Capabilities score measures supplier product, go-to-market and business execution in the short-term. The Strategy score measures alignment of supplier strategies with customer requirements in a 3-5-year timeframe. Supplier market share is represented by the size of the icons.
As noted in the IDC MarketScape, Looker is Google Cloud’s modern business intelligence platform designed to be a unified and trusted platform for the AI era, offering scalable, governed and embedded analytics, with advanced visualization capabilities. Looker’s cloud-native architecture is designed from the ground up with foundational Gemini models, offering native cutting-edge generative AI capabilities, including Conversational Analytics, automated insights and intelligent self-service.A key strength of Looker is its semantic modeling layer (LookML), which provides the governance and data consistency that is crucial for delivering trusted data to generative AI models. This allows customers to query in natural language for both out-of-the-box and bring-your-own-model scenarios. Additionally, through deep integration of natural language capability, powered by Gemini, complex tasks and queries that traditionally required engaging with on-site data analysts are now in the hands of the broader organization.
Looker Conversational Analytics Agent on Semantic Layer
Looker is designed for today’s workloads and tomorrow’s AI-powered innovations, including new capabilities in 2025 focused on developer tools. We recently introduced Looker MCP Server, which allows applications such as Gemini CLI, Claude, and other AI platforms to connect to trusted data from developer environments. With Looker MCP Server, AI agents can now directly query Looker’s semantic layer, receiving accurate and reliable data-driven insights without the risk of misinterpretation or outdated information.Additionally, Looker Continuous Integration helps speed code development and catch data inconsistencies with automated testing and validation, ensuring your BI assets are accurate, reliable and secure. Looker CI proactively tests new code prior to it reaching production, increasing quality and developer confidence.Companies across markets that are looking for deep integration with Google Cloud’s data, AI, and ML tools–or requiring multicloud flexibility–are selecting Looker for their AI and BI needs. Our open, composable platform supports semantic models and insights across diverse cloud configurations, giving our customers the freedom to innovate in their native environment. We remain dedicated to providing a powerful, flexible, and intelligent platform that helps organizations transform their data into a competitive advantage.To download the 2025 IDC MarketScape for Business Intelligence and Analytics Platforms excerpt, click here, and for more information on Looker, see here.IDC, IDC MarketScape: Worldwide Business Intelligence and Analytics Platforms 2025 Vendor Assessment, #US52034725, July 2025
AI Summary and Description: Yes
Summary: The text discusses Google being recognized as a Leader in the IDC MarketScape for Business Intelligence and Analytics Platforms, emphasizing the capabilities of its Looker platform that integrates advanced AI features. This recognition highlights the importance of AI-driven analytics in modern business environments, signaling to professionals the value of adopting AI-infused decision-making tools.
Detailed Description: The content provided outlines Google’s achievement in being named a Leader by IDC in the realm of business intelligence and analytics. It underscores the innovative features of Looker, which is designed to enhance data-driven decision-making through powerful AI capabilities. Key points include:
– **Recognition by IDC**: Google has been acknowledged as a leader in the market for business intelligence, which indicates a strong position in a competitive landscape.
– **Looker’s Capabilities**:
– **AI-Infused Platform**: Looker incorporates advanced AI functions such as Conversational Analytics and automated insights, facilitating user-friendly data interactions.
– **Semantic Modeling Layer (LookML)**: This feature ensures data governance and consistency, essential for maintaining the integrity of data used by generative AI models.
– **Natural Language Queries**: Users can interact with the platform in natural language, making analytics more accessible and efficient.
– **Integration with AI Tools**: Looker MCP Server allows different AI platforms like Gemini CLI and Claude to interface seamlessly with Looker’s semantic layer, providing precise data insights without compromising quality.
– **Ongoing Development for Future Needs**: Looker is positioned to evolve with developments focused on enhanced developer tools and continuous integration processes, promoting high-quality code and data consistency.
– **Multicloud Configurations**: Looker offers flexible deployment options that let organizations use the platform within various cloud setups, presenting a competitive edge in how businesses structure their data strategies.
This analysis is vital for security and compliance professionals as it highlights the increasing integration of AI in business analytics, emphasizing the need for robust security measures in protecting data integrity, as organizations adopt more sophisticated AI tools. Ensuring data governance and reliability becomes critical in environments powered by AI, making platforms like Looker significant in the realm of information security and compliance.